神经网络解耦控制器在热网流量调节中的应用  

Application of Decoupling Controller of Neural Networks to Heating Networks Flow Regulation

作　　者：宋秦中[1] 宋新玲[2] 

机构地区：[1]苏州市职业大学电子信息工程系,江苏苏州215104 [2]大连理工大学电子与信息工程学院,辽宁大连116023

出　　处：《苏州市职业大学学报》2012年第3期17-20,共4页Journal of Suzhou Vocational University

基　　金：苏州市职业大学研究性课程资助项目(SZDYKC-110703)

摘　　要：设计基于非线性多变量的神经网络解耦控制器,应用于具有大滞后、大惯性、非线性、强耦合特性的集中供热热网系统.流量调节的控制结果表明:该控制器能够合理地分配各热力子站一次网侧的流量,使各用户二次网供回水平均温度趋于一致,达到集中供热稳定供热和均匀供热的整体目标.In accordance with the District Heating System having large delay,nonlinear and strong coupling characteristic,this paper presents a nonlinear constrained optimization controller based on multivariable decoupling controller of Neural Networks.The results show that this controller can distribute the flow of the primary pipe network in every substation,make the average temperature of the supplying water and return water tend to be equal.Furthermore,it can make well-proportioned heat distribution in the whole heating network,which improves heating quality and achieves stabilization heating and even distribution heating.Meanwhile,a comfortable living environment can be created.

关 键 词：集中供热热网 神经网络 解耦控制 均匀供热 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]